Journals / Mathematical Modelling and Numerical Simulation with Applications / 2021 / Cilt: 1 Sayı: 2

Chaos of calcium diffusion in Parkinson's infectious disease model and treatment mechanism via Hilfer fractional derivative

Pages
84–94
Publication Date
2021-12-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The obtained results show that the modified calcium model is a function of time, position, and Hilfer fractional derivative.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Calcium is a vital element in our body and plays a crucial role to moderate the calcium signalling process.
📊
Key Findings & Data:The effect of calcium-dependent protein and flux through the sodium-calcium exchanger is incorporated in the model.
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Conclusion & Impact:The obtained results show that the modified calcium model is a function of time, position, and Hilfer fractional derivative.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Calcium · Parkinson’s disease · Hilfer fractional derivative

Abstract

Calcium is a vital element in our body and plays a crucial role to moderate the calcium signalling process. Calcium-dependent protein and flux through the sodium-calcium exchanger are also involved in signalling process to perform and execute necessary cellular activities. The loss or alteration in this cellular activity starts the early progress of Parkinson’s disease. A mathematical calcium model is developed in the form of the Hilfer fractional reaction-diffusion equation to examine the calcium diffusion in the cells. The effect of calcium-dependent protein and flux through the sodium-calcium exchanger is incorporated in the model. The solution of the Hilfer fractional calcium model is obtained by using the Sumudu transform technique in the form of the Wright function and Mittag-Leffler function. The graphical results are obtained for the different amounts of proteins, presence, and absence of sodium-calcium exchanger, and various orders of Hilfer derivative. The obtained results show that the modified calcium model is a function of time, position, and Hilfer fractional derivative. Thus the modified Hilfer calcium model provides a rich physical interpretation of a calcium model as compared to the classical calcium model.

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Cite This Article

JOSHİ, H., JHA, B. K. (2021). Chaos of calcium diffusion in Parkinson's infectious disease model and treatment mechanism via Hilfer fractional derivative. Mathematical Modelling and Numerical Simulation with Applications, Cilt: 1 Sayı: 2, 84–94. https://ajindex.com/articles/963266

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References (15)

  1. Squire L.R., Berg D., Bloom F. E., Du Lac S., Ghosh A., and Spitzer N. C., Fundamental Neuroscience, (Vol. 4). Elsevier Inc., (2012). Verkhratsky A. & Butt A. Glial neurobiology: a textbook, John Wiley and Sons, (2007).
  2. Petersen, O.H., Michalak, M. & Verkhratsky A. Calcium signalling: past, present and future. Cell Calcium, 38(3-4), 161–169, (2005).
  3. Clapham, D.E. Calcium Signaling. Cell, 131(6), 1047–1058, (2007).
  4. Panday, S. & Pardasani, K.R. Finite element model to study effect of advection diffusion and Na +/Ca2+ exchanger on Ca2+ distribution in oocytes. Journal of Medical Imaging and Health Informatics, 3(3), 374–379, (2013).
  5. Tewari, S.G. & Pardasani, K.R. Modeling effect of sodium pump on calcium oscillations in neuron cells. Journal of Multiscale Modelling, 4(3), 1250010, (2012).
  6. Jha, A., Adlakha, N. & Jha, B.K. Finite element model to study effect of Na+ - Ca2+ exchangers and source geometry on calcium dynamics in a neuron cell. Journal of Mechanics in Medicine and Biology, 16(2), 1–22, (2015).
  7. Mattson, M.P. Calcium and neurodegeneration. Aging Cell, 6(3), 337–350, (2007).
  8. Bezprozvanny, I. Calcium signaling and neurodegenerative diseases. Trends in molecular medicine, 15(3), 89–100, (2009).
  9. Surmeier, D.J. Calcium, ageing, and neuronal vulnerability in Parkinson’s disease. The Lancet Neurology, 6(10), 933–938, (2007).
  10. Zaichick, S.V., McGrath, K.M. & Caraveo, G. The role of Ca2+ signaling in Parkinson’s disease. Disease Models & Mechanisms, 10(5), 519–535, (2017). Calì, T., Ottolini, D. & Brini, M. Calcium signaling in Parkinson’s disease. Cell and tissue research, 357(2), 439–454, (2014).
  11. Blaustein, M.P. & Lederer, W.J. Sodium/calcium exchange: Its physiological implications. Physiological Reviews, 79(3), 763–854, (1999).
  12. Sato, D., Despa, S. & Bers, D.M. Can the sodium-calcium exchanger initiate or suppress calcium sparks in cardiac myocytes? Biophysical journal, 102(8), L31–L33, (2012).
  13. Philipson, K.D. & Nicoll, D.A. Sodium-calcium exchange: a molecular perspective. Annual review of physiology, 62(1), 111–133, (2000).
  14. Noble, D., Noble, S.J., Bett, G.C.L., Earm, Y.E., Ho, W.K. & So, I.K. The Role of Sodium - Calcium Exchange during the Cardiac Action Potential a. Annals of the New York Academy of Sciences, 639(1), 334–353, (1991).
  15. Jha, B.K., Adlakha, N. & Mehta, M.N. Two-Dimensional Finite Element Model To Study Calcium Distribution in Astrocytes in Presence of VGCC and Excess Buffer. International Journal of Modeling, Simulation, and Scientific Comp